2D to 3D Bubblegram Conversion -- 2
Budget: $250 – $750 USD
Developer Needed: Online 2D Photo → 3D Converter (Depth Map / Point Cloud)
I’m looking for a skilled developer to build an online tool that converts 2D photos into 3D bubblegram-style models, using depth estimation and point cloud generation techniques (similar to volumetric engraving or Cockpit 3D outputs).
Key Requirements:
• Web-based converter: upload a 2D photo → generate 3D model
• Output style: dot cloud / bubblegram effect (with adjustable point density)
• Optional background removal
• Export formats: .STL and/or .OBJ
• Real-time or near real-time preview if possible
Ideal Skills & Experience:
• Strong proficiency in Python, OpenCV, NumPy, and PCL
• Familiarity with MiDaS or similar depth estimation models
• Experience with 3D file formats (.STL, .OBJ) and mesh reconstruction
• Optional: Web integration using PHP, Flask, or FastAPI
• Understanding of volumetric point cloud rendering
Deliverables:
• Functional online tool (with UI for uploading and converting images)
• Adjustable parameters (point size, density, depth intensity, background toggle)
• Export/download options for 3D files
• Source code and setup documentation
Additional Info:
I can provide sample images, OBJ files, and videos demonstrating the desired result (file sizes are too large to upload here).
Looking for someone who understands AI-based depth mapping and 3D reconstruction to help bring this project to life.
I’m looking for a skilled developer to build an online tool that converts 2D photos into 3D bubblegram-style models, using depth estimation and point cloud generation techniques (similar to volumetric engraving or Cockpit 3D outputs).
Key Requirements:
• Web-based converter: upload a 2D photo → generate 3D model
• Output style: dot cloud / bubblegram effect (with adjustable point density)
• Optional background removal
• Export formats: .STL and/or .OBJ
• Real-time or near real-time preview if possible
Ideal Skills & Experience:
• Strong proficiency in Python, OpenCV, NumPy, and PCL
• Familiarity with MiDaS or similar depth estimation models
• Experience with 3D file formats (.STL, .OBJ) and mesh reconstruction
• Optional: Web integration using PHP, Flask, or FastAPI
• Understanding of volumetric point cloud rendering
Deliverables:
• Functional online tool (with UI for uploading and converting images)
• Adjustable parameters (point size, density, depth intensity, background toggle)
• Export/download options for 3D files
• Source code and setup documentation
Additional Info:
I can provide sample images, OBJ files, and videos demonstrating the desired result (file sizes are too large to upload here).
Looking for someone who understands AI-based depth mapping and 3D reconstruction to help bring this project to life.